Freelance Data Engineer (Security)

Experience Without Limits

Come shape the future of brand experience.

At Jack Morton, we design and build head-turning, smile-inducing, impact-driving brand experiences that redefine what experiential marketing can achieve. We help our clients unlock the full value of experiences by turning bold ideas into meaningful connections.

That takes a team that's bold, curious, and acts as one. We build on each other's ideas, challenge conventions, and show up for one another every day. Here, you'll do your best work, grow quickly, and partner across clients, disciplines, and global teams to bring new ideas to life.

This is a place where curiosity drives what’s next, boldness raises the bar, and every win is shared. Where ownership is expected, egos are left at the door, and the work reflects the passion and talent of the people behind it.

Experience without limits—in your work, your growth, and your impact.

Freelance Data Engineer (Security)

Jack IQ Programme ·

Role details

Job title | Data Engineer (Security)

Reports to | Product Lead / Technology Executive

Contract type Freelance (to perm possible)

Duration ASAP – April 27

Location / working pattern - Remote

Start date ASAP

Purpose of the role

Jack Morton is seeking a Data Engineer to help build out the data spine for an AI-enabled event intelligence platform. The role will focus on creating secure and scalable processes to connect operational systems, unstructured project documentation and data from third-party platforms into existing data warehousing infrastructure.

The successful candidate will help transform fragmented agency knowledge into governed, searchable, AI-ready assets while ensuring adherence to privacy, retention, and client-specific data requirements.

Key responsibilities

Create a structured data layer to integrate and model structured data from API enabled sources such as CRM systems, Azure databases, event attendance systems, survey platforms, and financial warehouses.

Create ingestion pipelines for the unstructured knowledge layer that includes Powerpoint presentations, Word documents and unstructured Excel spreadsheets.

Build an AI-Ready document infrastructure that can classify documents, handle versioning, track provenance, and manage metadata, auditability and permissioning.

Implement frameworks for strictest confidentiality and privacy protections, including access controls and security roles, consent tracking, data retention and data deletion management.

Work with members of the Jack Morton team to clearly communicate limitations, timeline expectations, out-of-pocket cost expectations and repercussions to platform design.

Participate in planning discussions on platform roadmap with Jack Morton team members.

Data engineering requirements

Pipeline design, ingestion, schema, data quality, orchestration, tooling.

This role requires strong experience in the following

Python

SQL

Data Modeling

Data Warehousing (Snowflake experience is desirable)

ETL or ELT development

API Integrations

Batch and event-driven pipelines.

The applicant should understand

Metadata extraction

OCR workflows

Semantic indexing

Vector databases

Retrieval-Augmented Generation (RAG)

Chunking strategies

Document classification

Embedding pipelines

Security requirements

Access control, tenant isolation, key management, pseudonymisation, audit and logging, compliance frameworks.

Experience with the following is essential, with AI-specific experience being a bonus:

PII handling and understanding of GDPR implications

Data pseudonymization

Data lineage

Retention policies

Audit logging

Data access controls

Platform and tooling

Snowflake, AWS, Bedrock, integration patterns, languages, infrastructure as code.

Snowflake

AWS Cognito

AWS S3

AWS Lamda

AWS DynamoDB

Experience required

Azure or Snowflake data warehousing

Document ingestion and RAG experience

Data governance and security

Modern data modeling skills

API integration

Data pipelines for unstructured documentation

Experience explaining technical infrastructure to non-technical teams

Experience preferred

LLM model building

Understanding of event and experiential marketing

Experience working with a project-based business

First 90 days

What success looks like by day 30, 60 and 90.

Within the first 90 days the data engineer should be integrated into the platform team. They should have delivered a proposal for their plan for the data spine and should be beginning to build out the initial processes to bring it to life.

We make our careers website accessible to any and all users. If you need an accommodation to participate in the application process, please contact us at This email address is not for general employment inquiries or vendors; rather it is strictly for applicants who require special assistance accessing our employment website. Due to volume, messages sent to this email address that are not related to an accommodation cannot be answered.

***JOB SCAM ALERT***

We have recently become aware that individuals not associated with Jack Morton have fraudulently used our name – and the names of some of our employees – to solicit applications for fake jobs, to conduct fake job interviews and to make fake job offers.

Any request to schedule an interview and any bona fide offer of employment will only come from an authorized representative of Jack Morton with an email address If you have provided personal information in connection with a fake job offer or interview and you are concerned, we suggest that you take appropriate action.

Jack Morton takes these activities very seriously and are taking appropriate steps to shut down this fraudulent activity.

We urge you to be careful when sharing your personal information and to be aware of scams involving fake job postings and job offers.

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